ACL RD-TEC 1.0 Summarization of A97-1025
Paper Title:
CONTEXTUAL SPELLING CORRECTION USING LATENT SEMANTIC ANALYSIS
CONTEXTUAL SPELLING CORRECTION USING LATENT SEMANTIC ANALYSIS
Authors: Michael P. Jones and James H . Martin
Primarily assigned technology terms:
- algorithm
- approximation
- bayesian classifier
- capitalization
- capitalization restoration
- classifier
- classifiers
- computing
- context reduction
- contextual spelling
- contextual spelling correction
- data processing
- decomposition
- disambiguation
- information retrieval
- information retrieval tasks
- latent semantic analysis
- machine translation
- markup language
- partitioning
- prediction system
- predictor
- processing
- semantic analysis
- sense disambiguation
- singular value decomposition
- spelling
- spelling correction
- term weighting
- tribayes
- tuning
- vector representation
- weighting
- word sense disambiguation
Other assigned terms:
- accent
- approach
- baseline performance
- baseline score
- bigram
- brown corpus
- case
- collocation
- context size
- context window
- contextual word
- corpora
- corpus frequency
- dimensionality
- distribution
- document
- document vectors
- entropy
- error rate
- feature
- heuristics
- latent semantic
- lexical items
- local context
- lsa matrix
- markup
- meanings
- measure
- method
- n-grams
- noise
- pairs of words
- part of speech
- part-of-speech
- parts of speech
- passage
- prediction accuracy
- predictive power
- procedure
- process
- running time
- semantic
- semantic space
- sentence
- sentence boundary
- sentences
- speech information
- technique
- term
- terms
- test corpus
- testing corpus
- text
- text collection
- text passage
- text segment
- theory
- training
- training corpus
- training data
- training set
- trigram
- trigram model
- typographical errors
- word
- word choice
- word sense
- word usage
- word vector
- words
